Paper Info
Title
Multi-channel generalized pseudo-Jacobi-Fourier moments for color image reconstruction and object recognition
Abstract
The generalized pseudo-Jacobi-Fourier moments (G-PJFMs) which are orthogonal and rotation invariant are characterized by a free parameter and the classical pseudo-Jacobi-Fourier moments (PJFMs) are the special case of G-PJFMs. In this paper, we have proposed the multi-channel G-PJFMs (MG-PJFMs) using the multi-channel framework and analyzed the effect of the free parameter on color image reconstruction and color object recognition under various geometric transformations and noisy conditions for G-PJFMs. The detailed experimental analysis provides the optimum values of the free parameter for these image analysis tasks.
Year
DOI
Venue
2017
10.1109/ICAPR.2017.8592964
2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR)
Keywords
Field
DocType
color image,generalized pseudo-Jacohi-Fourier moments,orthogonal moments
Iterative reconstruction,Computer science,Transformation geometry,Quaternion,Algorithm,Fourier transform,Invariant (mathematics),Color image,Cognitive neuroscience of visual object recognition,Free parameter
Conference
ISBN
Citations 
PageRank 
978-1-5386-2242-1
0
0.34
References 
Authors
9
2
Name
Order
Citations
PageRank
Jaspreet Singh Suri133729.90
C. Singh213112.63